diff options
Diffstat (limited to 'src/cpu/operators/CpuWinogradConv2d.h')
| -rw-r--r-- | src/cpu/operators/CpuWinogradConv2d.h | 20 |
1 files changed, 10 insertions, 10 deletions
diff --git a/src/cpu/operators/CpuWinogradConv2d.h b/src/cpu/operators/CpuWinogradConv2d.h index 7e1d952462..ba9b879431 100644 --- a/src/cpu/operators/CpuWinogradConv2d.h +++ b/src/cpu/operators/CpuWinogradConv2d.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2021-2022 Arm Limited. + * Copyright (c) 2021-2023 Arm Limited. * * SPDX-License-Identifier: MIT * @@ -21,16 +21,16 @@ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE * SOFTWARE. */ -#ifndef ARM_COMPUTE_CPU_WINOGRAD_CONV2D_KERNEL_H -#define ARM_COMPUTE_CPU_WINOGRAD_CONV2D_KERNEL_H +#ifndef ACL_SRC_CPU_OPERATORS_CPUWINOGRADCONV2D_H +#define ACL_SRC_CPU_OPERATORS_CPUWINOGRADCONV2D_H #include "arm_compute/core/TensorInfo.h" #include "arm_compute/runtime/FunctionDescriptors.h" #include "src/core/common/Macros.h" #include "src/cpu/ICpuOperator.h" -#include "src/cpu/kernels/assembly/gemm_common.hpp" #include "src/cpu/kernels/CpuWinogradConv2dKernel.h" +#include "src/cpu/kernels/assembly/gemm_common.hpp" #include "src/cpu/operators/CpuActivation.h" #include "src/cpu/operators/CpuGemm.h" #include "src/cpu/operators/CpuPermute.h" @@ -65,7 +65,7 @@ public: * while every optional dimension from 4 and above represent a batch of inputs. * Data types supported: F16/F32. * @param[in] weights Weights tensor Info. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM]. Data type supported: Same as @p input. - * Currently only 3x3 and 5x5 kernels are supported. + * For supported kernel sizes, see @ref arm_compute::NEWinogradConvolutionLayer * @param[in] biases Biases tensor Info. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. Data type supported: Same as @p weights. * @param[out] dst Destination tensor Info. 3 lower dimensions represent a single output [width, height, OFM], while the rest represent batch of outputs. * Data types supported: Same as @p input. @@ -96,8 +96,8 @@ public: bool enable_fast_math = false); // Inherited methods overridden: - void run(ITensorPack &tensors) override; - void prepare(ITensorPack &constants) override; + void run(ITensorPack &tensors) override; + void prepare(ITensorPack &constants) override; experimental::MemoryRequirements workspace() const override; private: @@ -124,9 +124,9 @@ private: std::unique_ptr<CpuPermute> _permute_input; std::unique_ptr<CpuPermute> _permute_output; std::unique_ptr<CpuPermute> _permute_weights; - experimental::MemoryRequirements _aux_mem{Count}; + experimental::MemoryRequirements _aux_mem{ Count }; std::unique_ptr<arm_conv::ConvolutionArgs> - _conv_args; // Make it unique ptr because this type does not have a default constructor + _conv_args; // Make it unique ptr because this type does not have a default constructor arm_conv::winograd::WinogradImpl _winograd_impl; DataLayout _data_layout; TensorInfo _winograd_transformed_input; @@ -143,4 +143,4 @@ private: } // namespace cpu } // namespace arm_compute -#endif /* ARM_COMPUTE_CPU_WINOGRAD_CONV2D_KERNEL_H */ +#endif // ACL_SRC_CPU_OPERATORS_CPUWINOGRADCONV2D_H |